Design Engineering

Robots vs CNC for AM

By David Alatorre   

Additive Manufacturing

A look at which automated approach is superior for support removal and finishing of metal 3D printed parts.

Rivelin Robotics’ NetShape robots automate support removal, finishing, polishing and blasting tasks on metal AM parts.
(Photo credit: Revelin Robotics)

The use of metal additive manufacturing (AM) has revolutionized the manufacturing industry, allowing for the creation of complex and intricate parts in a faster and more cost-effective manner. However, essential post processing of these parts introduces time and financial constraints to the overall cost-per-part that can negate the benefits of AM altogether.

Support removal is the critical first step of post processing metal AM parts, but it’s also a challenging one. Today, supports are still essential for part fidelity during the manufacturing process, but they must be removed to achieve the required finished product with the intended shape, features and tolerances.

While manual support removal is still the status quo for many applications of metal AM, the transition to automated support removal (and finishing) solutions requires a look at the advantages and disadvantages of using CNC systems versus robots.

The support question
There is an argument that the support removal conundrum in AM will eventually be resolved by so-called support-free printing. Of course, this would be the ultimate goal, allowing complete design freedom with optimised resource efficiency, whereby raw materials and energy are only being used to make the final part and not the supports.


Unfortunately, the AM sector is not there yet. While supports are being minimised through design, they are still — and will be for the foreseeable future – a necessity. Minimising the amount of material and energy used for supports is the right thing to do in almost every situation. However, it can also compromise design freedom and have a negative impact on the desired functionality of the end-use part.

For example, a part may need to be designed with filled cavities or overhangs leading to loss of light-weighting. Similarly, generative designs may be unnecessarily constrained to get the angles needed for reduced supports. A focus on support reduction can also affect process efficiency. For example, long parts may have to be built in a specific orientation and therefore take up more of the build plate, and stacked builds may become impractical because of the interconnecting support structures.

Manual post processing
Shockingly, manual support removal remains the process of choice for the majority of AM users. It requires highly trained technicians employing all manner of traditional hand tools. It is tried and tested but requires skill, problem-solving and creativity. It can be well suited to high mix, low volume production environments.

However, manual support removal is also very time-consuming, labor-intensive, messy, and often produces toxic dust that requires PPE or shielded environments. Risk of powder ignition and explosion, and repetitive strain injuries are common problems. In addition, it is not accurately repeatable with variability from person to person and even from shift to shift causing quality control problems and increases in scrap rate. It is also difficult to scale if the demand for AM parts begins to increase significantly.

There has been some progress with solutions for automating the post processing of metal AM parts. The most common has been the utilization of CNC milling machines, a proven technology for a variety of manufacturing applications, including a hybrid approach to AM. They are undeniably accurate and repeatable.

CNC can work well if the part in question has tightly toleranced features, and where flatness, circularity, concentricity or dimensions have to be within a few microns. It is also the preferred technology for support removal in large batch builds where geometries are simple or lend themselves to easy fixturing in only a couple of orientations. Similarly, it can be a good fit for prints where platform removal with a CNC EDM takes care of the majority of supports.

However, CNC machines are not a good solution for thin-walled components, space-saving stacked builds and parts with lattice structures or breakaway supports. It is also fair to say that CNC programmers don’t like one-off generatively-designed organic shapes with compound curves.

This begins to clarify and strengthen the argument against CNC for support removal in the AM ecosystem.

One of the main drivers of AM is the flexibility of design that allows users to iterate, customise and upgrade components from one batch to the next. That means it is rare for companies using AM for production to invest in rigid industrial automation. Any iteration, any change to the design would mean a new CNC trajectory for a new tool path and come at a high cost. AM needs this design flexibility to be carried to every step of the manufacturing process chain.

The problem is similar for tooling and fixturing. The kinds of high-precision fixtures required for rigid industrial automation just don’t make sense unless you are prepared to commit to a design long term.

And then there’s the problem of batch-to-batch variability. Even if you did have a perfect fixture and a perfect tool path, relying on a perfectly predictable support surface straight from the printer may not be the best idea.

This is because it is expected that AM supports deflect so AM parts don’t have to. AM supports are made thin to maximise the use of powder stock. Thin connections are made to the component to minimise surface witnesses and make it easy to break away the scaffolding. Material composition is even changed between batches sometimes, all of which means supports may look and behave very differently from one batch to the next.

The upside of robots
AM needs automation that can adapt to variability, especially for support and witness removal. And this challenge has been solved through the use of sophisticated software and artificial intelligence systems to help generate toolpaths and robot motions without mobilizing an entire systems-engineering team. This then allows for quick iteration as well as automation of small batches.

3D scanning can be used to locate parts instead of high-precision fixtures, which means desktop FDM printers can be used to make plastic fixtures quickly without worrying about accuracy or changes to the design. In addition, force sensors can be used to feel the surface and adapt the machining accordingly, or to spend more time on high spots until the final shape is reached or to polish to a consistent finish.

One huge advantage is that any tool can be used for support removal and finishing. If it is already known what tools work well with the materials or the types of supports printed; the same exact tools can be attached to a robot to automate with more confidence. With today’s technology, the steps to add a new custom tool are basically like adding a new type of endmill to a CNC machine and doesn’t require a system integrator that charges by the hour.

To summarize, robots are emerging as a superior solution compared with CNC machines for the automated removal of supports from metal AM parts due to their speed, efficiency, flexibility, accuracy, repeatability, safety, cost-effectiveness, and sustainability.

The use of robots in this process not only results in a better finished product, but also provides a safer, more sustainable and more cost-effective end-to end manufacturing process.

David Alatorre is CTO of Rivelin Robotics.


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